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• SQL Authority News – Play by Play with Pinal Dave – A Birthday Gift

  - by Pinal Dave

  Today is my birthday. Personal Note When I was young, I was always looking forward to my birthday as on this day, I used to get gifts from everybody. Now when I am getting old on each of my birthday, I have almost same feeling but the direction is different. Now on each of my birthday, I feel like giving gifts to everybody. I have received lots of support, love and respect from everybody; and now I must return it back.Well, on this birthday, I have very unique gifts for everybody – my latest course on SQL Server. How I Tune Performance I often get questions where I am asked how do I work on a normal day. I am often asked that how do I work when I have performance tuning project is assigned to me. Lots of people have expressed their desire that they want me to explain and demonstrate my own method of solving performance problem when I am facing real world problem. It is a pretty difficult task as in the real world, nothing goes as planned and usually planned demonstrations have no place there. The real world, demands real solutions and in a timely fashion. If a consultant goes to industry and does not demonstrate his/her capabilities in very first few minutes, it does not matter how much fame he/she is, the door is shown to them eventually. It is true and in my early career, I have faced it quite commonly. I have learned the trick to be honest from the start and request absolutely transparent communication from the organization where I am to consult. Play by Play Play by Play is a very unique setup. It is not planned and it is a step by step course. It is like a reality show – a very real encounter to the problem and real problem solving approach. I had a great time doing this course. Geoffrey Grosenbach (VP of Pluralsight) sits down with me to see what a SQL Server Admin does in the real world. This Play-by-Play focuses on SQL Server performance tuning and I go over optimizing queries and fine-tuning the server. The table of content of this course is very simple. Introduction In the introduction I explained my basic strategies when I am approached by a customer for performance tuning. Basic Information Gathering In this module I explain how I do gather various information for performance tuning project. It is very crucial to demonstrate to customers for consultant his capability of solving problem. I attempt to resolve a small problem which gives a big positive impact on performance, consultant have to gather proper information from the start. I demonstrate in this module, how one can collect all the important performance tuning metrics. Removing Performance Bottleneck In this module, I build upon the previous module’s statistics collected. I analysis various performance tuning measures and immediately start implementing various tweaks on the performance, which will start improving the performance of my server. This is a very effective method and it gives immediate return of efforts. Index Optimization Indexes are considered as a silver bullet for performance tuning. However, it is not true always there are plenty of examples where indexes even performs worst after implemented. The key is to understand a few of the basic properties of the index and implement the right things at the right time. In this module, I describe in detail how to do index optimizations and what are right and wrong with Index. If you are a DBA or developer, and if your application is running slow – this is must attend module for you. I have some really interesting stories to tell as well. Optimize Query with Rewrite Every problem has more than one solution, in this module we will see another very famous, but hard to master skills for performance tuning – Query Rewrite. There are few do’s and don’ts for any query rewrites. I take a very simple example and demonstrate how query rewrite can improve the performance of the query at many folds. I also share some real world funny stories in this module. This course is hosted at Pluralsight. You will need a valid login for Pluralsight to watch  Play by Play: Pinal Dave course. You can also sign up for FREE Trial of Pluralsight to watch this course. As today is my birthday – I will give 10 people (randomly) who will express their desire to learn this course, a free code. Please leave your comment and I will send you free code to watch this course for free. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, SQLAuthority News, T SQL, Video

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• SQL Profiler: Read/Write units

  - by Ian Boyd

  i've picked a query out of SQL Server Profiler that says it took 1,497 reads: EventClass: SQL:BatchCompleted TextData: SELECT Transactions.... CPU: 406 Reads: 1497 Writes: 0 Duration: 406 So i've taken this query into Query Analyzer, so i may try to reduce the number of reads. But when i turn on SET STATISTICS IO ON to see the IO activity for the query, i get nowhere close to one thousand reads: Table Scan Count Logical Reads =================== ========== ============= FintracTransactions 4 20 LCDs 2 4 LCTs 2 4 FintracTransacti... 0 0 Users 1 2 MALs 0 0 Patrons 0 0 Shifts 1 2 Cages 1 1 Windows 1 3 Logins 1 3 Sessions 1 6 Transactions 1 7 Which if i do my math right, there is a total of 51 reads; not 1,497. So i assume Reads in SQL Profiler is an arbitrary metric. Does anyone know the conversion of SQL Server Profiler Reads to IO Reads? See also SQL Profiler CPU / duration unit Query Analyzer VS. Query Profiler Reads, Writes, and Duration Discrepencies

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• Light-weight, free, database query tool for Windows?

  - by NoCatharsis

  My question is very similar to the one here except pertaining to a Windows tool. I am also referencing this table and what I found here with a Google search. However, I have no idea which tool would best meet my (very basic) purposes. I am currently using Excel with a basic ODBC connection string to query my database at work. However, Excel is pretty memory-heavy and a basic query tends to throw my computer into a 30 second stall-a-thon. Is there a free tool out there that is light-weight and can serve the same purpose when provided an ODBC connection and a SQL query? Also would prefer that it easily copies over to a spreadsheet as needed.

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• Visual Query Builder

  - by johnnyArt

  If been using "dbForge Query Builder" lately and I'm gotten used to the ease of building and testing a query, specially for those complex ones with inner joins, aliases and multiple conditionals. The expiry date of the trial is about to come, and while wanting to remain on the legal side for this I'd rather not pay the 50USD it costs (although I must say it's pretty cheap for what it does). So my question would be: Are there any free alternatives to replace this visual query builder? I've failed to find any and fear that my only two options are paying for it, or going to the dark side.

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• Query optimization using composite indexes

  - by xmarch

  Many times, during the process of creating a new Coherence application, developers do not pay attention to the way cache queries are constructed; they only check that these queries comply with functional specs. Later, performance testing shows that these perform poorly and it is then when developers start working on improvements until the non-functional performance requirements are met. This post describes the optimization process of a real-life scenario, where using a composite attribute index has brought a radical improvement in query execution times.  The execution times went down from 4 seconds to 2 milliseconds! E-commerce solution based on Oracle ATG – Endeca In the context of a new e-commerce solution based on Oracle ATG – Endeca, Oracle Coherence has been used to calculate and store SKU prices. In this architecture, a Coherence cache stores the final SKU prices used for Endeca baseline indexing. Each SKU price is calculated from a base SKU price and a series of calculations based on information from corporate global discounts. Corporate global discounts information is stored in an auxiliary Coherence cache with over 800.000 entries. In particular, to obtain each price the process needs to execute six queries over the global discount cache. After the implementation was finished, we discovered that the most expensive steps in the price calculation discount process were the global discounts cache query. This query has 10 parameters and is executed 6 times for each SKU price calculation. The steps taken to optimise this query are described below; Starting point Initial query was: String filter = "levelId = :iLevelId AND  salesCompanyId = :iSalesCompanyId AND salesChannelId = :iSalesChannelId "+ "AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND brand = :iBrand AND manufacturer = :iManufacturer "+ "AND areaId = :iAreaId AND endDate >=  :iEndDate AND startDate <= :iStartDate"; Map<String, Object> params = new HashMap<String, Object>(10); // Fill all parameters. params.put("iLevelId", xxxx); // Executing filter. Filter globalDiscountsFilter = QueryHelper.createFilter(filter, params); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(globalDiscountsFilter); With the small dataset used for development the cache queries performed very well. However, when carrying out performance testing with a real-world sample size of 800,000 entries, each query execution was taking more than 4 seconds. First round of optimizations The first optimisation step was the creation of separate Coherence index for each of the 10 attributes used by the filter. This avoided object deserialization while executing the query. Each index was created as follows: globalDiscountsCache.addIndex(new ReflectionExtractor("getXXX" ) , false, null); After adding these indexes the query execution time was reduced to between 450 ms and 1s. However, these execution times were still not good enough.  Second round of optimizations In this optimisation phase a Coherence query explain plan was used to identify how many entires each index reduced the results set by, along with the cost in ms of executing that part of the query. Though the explain plan showed that all the indexes for the query were being used, it also showed that the ordering of the query parameters was "sub-optimal".  Parameters associated to object attributes with high-cardinality should appear at the beginning of the filter, or more specifically, the attributes that filters out the highest of number records should be placed at the beginning. But examining corporate global discount data we realized that depending on the values of the parameters used in the query the “good” order for the attributes was different. In particular, if the attributes brand and family had specific values it was more optimal to have a different query changing the order of the attributes. Ultimately, we ended up with three different optimal variants of the query that were used in its relevant cases: String filter = "brand = :iBrand AND familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "familyId = :iFamilyId AND departmentId = :iDepartmentId AND levelId = :iLevelId AND brand = :iBrand "+ "AND manufacturer = :iManufacturer AND endDate >=  :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId  AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; String filter = "brand = :iBrand AND departmentId = :iDepartmentId AND familyId = :iFamilyId AND levelId = :iLevelId "+ "AND manufacturer = :iManufacturer AND endDate >= :iEndDate AND salesCompanyId = :iSalesCompanyId "+ "AND areaId = :iAreaId AND salesChannelId = :iSalesChannelId AND startDate <= :iStartDate"; Using the appropriate query depending on the value of brand and family parameters the query execution time dropped to between 100 ms and 150 ms. But these these execution times were still not good enough and the solution was cumbersome. Third and last round of optimizations The third and final optimization was to introduce a composite index. However, this did mean that it was not possible to use the Coherence Query Language (CohQL), as composite indexes are not currently supporte in CohQL. As the original query had 8 parameters using EqualsFilter, 1 using GreaterEqualsFilter and 1 using LessEqualsFilter, the composite index was built for the 8 attributes using EqualsFilter. The final query had an EqualsFilter for the multiple extractor, a GreaterEqualsFilter and a LessEqualsFilter for the 2 remaining attributes.  All individual indexes were dropped except the ones being used for LessEqualsFilter and GreaterEqualsFilter. We were now running in an scenario with an 8-attributes composite filter and 2 single attribute filters. The composite index created was as follows: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ),    new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ),    new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ),    new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); globalDiscountsCache.addIndex(me, false, null); And the final query was: ValueExtractor[] ve = { new ReflectionExtractor("getSalesChannelId" ), new ReflectionExtractor("getLevelId" ),    new ReflectionExtractor("getAreaId" ), new ReflectionExtractor("getDepartmentId" ),    new ReflectionExtractor("getFamilyId" ), new ReflectionExtractor("getManufacturer" ),    new ReflectionExtractor("getBrand" ), new ReflectionExtractor("getSalesCompanyId" )}; MultiExtractor me = new MultiExtractor(ve); // Fill composite parameters.String SalesCompanyId = xxxx;...AndFilter composite = new AndFilter(new EqualsFilter(me,                   Arrays.asList(iSalesChannelId, iLevelId, iAreaId, iDepartmentId, iFamilyId, iManufacturer, iBrand, SalesCompanyId)),                                     new GreaterEqualsFilter(new ReflectionExtractor("getEndDate" ), iEndDate)); AndFilter finalFilter = new AndFilter(composite, new LessEqualsFilter(new ReflectionExtractor("getStartDate" ), iStartDate)); NamedCache globalDiscountsCache = CacheFactory.getCache(CacheConstants.GLOBAL_DISCOUNTS_CACHE_NAME); Set applicableDiscounts = globalDiscountsCache.entrySet(finalFilter);      Using this composite index the query improved dramatically and the execution time dropped to between 2 ms and  4 ms.  These execution times completely met the non-functional performance requirements . It should be noticed than when using the composite index the order of the attributes inside the ValueExtractor was not relevant.

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• Problem in HQL query

  - by Rupeshit

  I written a query in my sql like this: "select * from table_name order by col_name = 101 desc " Which is working perfectly fine in mysql but when I tried to convert this query into HQl query then it is throwing an exception.So can anyone suggest me that how to write HQL query for the above SQL query.

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• SQLAlchemy custom query column

  - by thrillerator

  I have a declarative table defined like this: class Transaction(Base): __tablename__ = "transactions" id = Column(Integer, primary_key=True) account_id = Column(Integer) transfer_account_id = Column(Integer) amount = Column(Numeric(12, 2)) ... The query should be: SELECT id, (CASE WHEN transfer_account_id=1 THEN -amount ELSE amount) AS amount FROM transactions WHERE account_id = 1 OR transfer_account_id = 1 My code is: query = Transaction.query.filter_by(account_id=1, transfer_account_id=1) query = query.add_column(func.case(...).label("amount") But it doesn't replace the amount column. Been trying to do this with for hours and I don't want to use raw SQL.

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• how to design the query for non-sql database

  - by Benny

  can anyone give some reference for non-sql database query interface design pattern? For sql-based database, the query can be achieved by combining the query token. but for non-sql, how to design the query, given that the query could be very complex.

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• MsSQL 2005 query performance

  - by Max

  I have the following query: select ............. from //one table and about 20 left joins// where ( ( this_.driverName like 'blah*' or this_.renterName like 'blah*' ) or exists ( select this0__.id as y0_ from ThirdParty this0__ where this0__.name like 'blah*' and this0__.claim_id=this_.id ) ) order by this_.id asc And I have two environment: One with 175 000 records in table "this_" and second with 25 000 records in table "this_". This query works right on 175k database and it works smth about 2 seconds, but on base with 25k this query freezes. and if drop one the folloing item from where clause: ( this_.driverName like 'blah*' or this_.renterName like 'blah*' ) or exists ( select this0__.id as y0_ from ThirdParty this0__ where this0__.name like 'blah*' and this0__.claim_id=this_.id ) query runs normally. How can I to increase performance of this query?

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• SQL SERVER – Identify Most Resource Intensive Queries – SQL in Sixty Seconds #028 – Video

  - by pinaldave

  During performance tuning conversation the very first question people often ask is what are the queries offending the server or in another word let us identify the queries which are the most resource intensive. The resources are often described as either Memory, CPU or IO. When we talk about the queries the same is applicable for them as well. The query which is doing lots of reads or writes are for sure resource intensive as well query which are taking maximum CPU time. Performance tuning is a very deep subject and we all have our own preference regarding what should be the first step to tuning and what should be looked with the salt of grain. Though there is no denying that a query which uses more resources than what it should be using for sure require tuning. There are many ways to do identify query using intense resources (e.g. Extended events etc) but in this one we will go by simple DMV. There is a small gotcha we all have to remember about usage of DMV is that it only brings back results from existing cache. So if you have a query which is very resource intensive but is not cached or if you have explicitly removed the query from the cache it will be not part of the result returned by this DMV. It is quite possible that a query is aged and removed from the cache if your cache is not huge. If your cache is large you may want to be careful in running this query during business hours as this query itself can be resource intensive. Get Script to identify resource intensive query from Here Related Tips in SQL in Sixty Seconds: SQL SERVER – Find Most Expensive Queries Using DMV Simple Example to Configure Resource Governor – Introduction to Resource Governor SQL SERVER – DMV – sys.dm_exec_query_optimizer_info – Statistics of Optimizer SQL SERVER – Wait Stats – Wait Types – Wait Queues – Day 0 of 28 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Excel

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• ESXi 5 network performance is slow

  - by R D

  We just did a fresh install of ESXi 5 on a host that was running ESX 4 before. Nothing has changed hardware wise. After the upgrade network performance is much slower. Even copying a big file from one VM to another VM within same virtual switch is slower compared to other hosts that are running ESX 4. Network cards are auto-negotiating at 1Gbps as were on ESX 4 prior to upgrade. All settings are default and I haven't played with Advanced Settings at all. Before opening a case with vmware, wanted to know if I am missing something or if others have experienced similar issues and found a fix?

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• How to open ports on modem for better torrent performance

  - by Mehper C. Palavuzlar

  I've been using utorrent to download and upload torrents for a long time. Recently someone told me that I need to open port(s) for utorrent from my modem settings for better downloading and uploading performance. Is it true? If yes, how can I do that? My utorrent version: 2.0 and the port used for incoming connections: 61829. My modem: Yaksu S200 ADSL router modem and I can reach its settings via web interface. I looked at the settings but they seem a bit complicated to me. Other info you may need to know: I have dynamic IP. I'm using Win7 x64.

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• Apache mpm-itk Performance

  - by Matt Beckman

  I manage a bunch of VPSs with memory ranging from 1GB to 8GB. Most of these websites are Joomla websites, and the servers must support multiple sites/users/S-FTP. I use mpm-itk almost exclusively (mostly due to it's convenience in these shared environments). However, I'm aware it isn't known for performance, so I need some advice on making it faster. Due to the lack of documentation when I first went the way of mpm-itk, I included only one setting in the config, and that was to limit each user to 50 clients (the rest I left up to defaults): <IfModule mpm_itk_module> MaxClientsVHost 50 </IfModule> Are there any better alternatives available? Are there any settings supported in mpm-prefork or mpm-worker that are also supported in mpm-itk? Thanks!

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• Performance Testing through distributed jmeter instances and bamboo

  - by user1617754

  I´m working on performance test for several services running in an Amazon network. Our architecture is: Continuous Integration server running in our facilities (Bamboo); A Jmeter server instance in the same network than the services to test; A Jmeter client connected to the JMeter server (ssh tunnels) in our facilities. I want to start the execution of tests from bamboo, and see the different results on it too. Bamboo with <---------> Jmeter server <--------> WebService Jmeter client on Amazon on Amazon Has anybody tried something like this?

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• Performance hit with new hard drive?

  - by aaaidan

  I've recently upgraded my laptop's internal hard drive from a 160GB to 1TB drive. I cloned the drive, then installed it. The general system performance seems appreciably slower. In particular application launches seem to take much longer. Is this possible, or am I just expecting too much from the new drive? It's running a Macbook Pro which is a couple of years old. Any ideas? 160 GB 7MB cache 5400 rpm NCQ (Hitachi HTS545016B9SA02) -- original drive 1 TB 8MB cache 5400 rpm SATA300 NCQ (Western Digital WD10TPVT-00HT5T0) Sisoftware links: Hitachi HTS545016B9SA02 Western Digital WD10TPVT-00HT5T0

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• Troubleshooting server performance with a hosted server?

  - by ProfessionalAmateur

  We are in a tough spot, we have a hosted server with the following specs: OS: Windows Server 2008 R2 Enterprise SP1 64bit Processor: Intel Xeon X7550 @ 2GHz (8 processors) RAM: 16GB The file system is on a SAN or NAS (not sure). We are seeing very odd issues where a user will open a 25MB .xslb file and it takes literally 60-120 seconds sometimes. The server is just dog slow for excel. Resources are not being pegged, CPU never jumps up, plenty of RAM... it's just oddly slow. Our host has been looking at the issue for several weeks with not much to show for it. Is there a utility I can run myself that will help trackdown our issue? I have found Server Performance Advisor V1.0 Any experience in using it? Our host is ultimately responsible for fixing this, but we are going on 1 month and our users are losing patience. Any tips would be helpful.

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• Improving terminal server performance for a specfic app

  - by Matt

  We have a windows 2003 terminal server running 2X application load balancign that is hosting a client's application that is accessed by around 50 users. Each user has there own database. The database is a file based database. The application is developed under Delphi so I think the database may be BDE based. As you can imagine, there is probably quite a lot of disk i/o. Here are some of the perfmon settings. Logged in users (average) 20 - 25 CPU Utilization (average) 80 - 100% Disk Queue Length (average) 1.6 % Disk time (average) 111 Page faults/sec (average) 1400 The application takes on average about a minute to load up. As usual, the budget is tight. Is there basic windows performance tuning tips that people can recommend to improve things before we fork out on more RAM etc. Server is a 2.8GHz Xeon with 3GB of RAM.

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• Disable Memory Modules In BIOS for Testing Purposes (Optimize Nehalem/Gulftown Memory Performance)

  - by Bob

  I recently acquired an HP Z800 with two Intel Xeon X5650 (Gulftown) 6 core processors. The person that configured the system chose 16GB (8 x 2GB DDR3-1333). I'm assuming this person was unaware these processors have 3 memory channels and to optimize memory performance one should choose memory in multiples of three. Based on this information, I have a question: By entering the BIOS, can I disable the bank on each processor that has the single memory module? If so, will this have any adverse effects or behave differently than physically removing the modules? I ask due to the fact that I prefer to store the extra memory in the system if it truly behaves as if the memory is not even there. Also, I see this as an opportunity to test 12GB vs. 16GB to see if there is a noticeable difference. Note: According to http://www.delltechcenter.com/page/04-08-2009+-+Nehalem+and+Memory+Configurations?t=anon, the current configuration reduces the overall data transfer speed to 1066 and in addition, the memory bandwidth goes down by about 23%.

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• SQL Performance Problem IA64

  - by Vendoran

  We’ve got a performance problem in production. QA and DEV environments are 2 instances on the same physical server: Windows 2003 Enterprise SP2, 32 GB RAM, 1 Quad 3.5 GHz Intel Xeon X5270 (4 cores x64), SQL 2005 SP3 (9.0.4262), SAN Drives Prod: Windows 2003 Datacenter SP2, 64 GB RAM, 4 Dual Core 1.6 GHz Intel Family 80000002, Model 6 Itanium (8 cores IA64), SQL 2005 SP3 (9.0.4262), SAN Drives, Veritas Cluster I am seeing excessive Signal Wait Percentages ( 250%) and Page Reads /s (50) and Page Writes /s (25) are both high occasionally. I did test this query on both QA and PROD and it has the same execution plan and even the same stats: SELECT top 40000000 * INTO dbo.tmp_tbl FROM dbo.tbl GO Scan count 1, logical reads 429564, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0. As you can see it’s just logical reads, however: QA: 0:48 Prod: 2:18 So It seems like a processor related issue, however I’m not sure where to go next, any ideas? Thanks, Aaron

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• Raid0 performance degradation?

  - by davy8

  Not sure if this belongs here or on SuperUser, feel free to move as appropriate. I've noticed the performance on my RAID0 setup seems to have degraded over the past months. The throughput is fine, but I think the random access time has increased or something. In use I generally see about 1-5mb/sec when loading stuff in Visual Studio and other apps and it doesn't seem like the CPU is bottlenecking as the CPU utilization is pretty low. I don't recall what Access Time used to be, but HD Tune is reporting 12.6ms Read throughput is showing as averaging about 125MB/sec so it should be great for sequential reads. Defrag daily and it shows fragmentation levels low, so that shouldn't be an issue. Additional info, Windows 7 x64, Intel raid controller on mobo, WD Black 500GB (I think 32mb cache) x2.

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• Raid0 performance degradation?

  - by davy8

  Not sure if this belongs here or on SuperUser, feel free to move as appropriate. I've noticed the performance on my RAID0 setup seems to have degraded over the past months. The throughput is fine, but I think the random access time has increased or something. In use I generally see about 1-5mb/sec when loading stuff in Visual Studio and other apps and it doesn't seem like the CPU is bottlenecking as the CPU utilization is pretty low. I don't recall what Access Time used to be, but HD Tune is reporting 12.6ms Read throughput is showing as averaging about 125MB/sec so it should be great for sequential reads. Defrag daily and it shows fragmentation levels low, so that shouldn't be an issue. Additional info, Windows 7 x64, Intel raid controller on mobo, WD Black 500GB (I think 32mb cache) x2.

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• Improving Chrome performance on OSX

  - by Giannis

  There are a number of sites that do not display properly on Safari and I need to switch to Chrome. Although when the content of the sites requires flash player, Chrome will consume a significant amount of CPU. Running more than 3 windows, will cause my MBP to overheat, start the fans, and reduce battery life way more than Safari. What I am looking for is suggestions on ways to improve performance of Chrome running flash. I know Safari is optimised for OSX, but any improvement is welcome. Following I have a demo to display the issue. I am running same youtube video on Safari 6 and Chrome 21,both updated,at the same time. Both browsers have been reseted and have no extensions. This is run on MBP 13" 2012 with 2.9 i7 running OSX 10.8.1. p.s If any additional details can help please let me know.

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• Database Performance Across 3 NetApp FAS2050

  - by bjd145

  I recently inherited a SQL Server 2005 box that has LUNs mounted on it from three different NetApp FAS2050 filers. The reason there are three is because the first two filers are out of space and our databases continually need more of it. What kind of performance impact (if any) does this setup have? Is it better to move the LUNs from the two other older filers to the newer one so that we have only one filer/controller for caching, etc ? This is in general. I apologize for not having more specifics.

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• Join performance on MyISAM and InnoDB tables

  - by j0nes

  I am thinking about converting some tables from MyISAM to InnoDB in my mysql server. The tables will certainly benefit from the change because a lot of write requests come to these tables, while there are also quite a lot of read request at the same time. However, they are often joined together with some tables that almost don't get any writes. Is there a performance penalty when joining together MyISAM and InnoDB tables or should everything work fine? Second question: During backups at night, I am copying data from the InnoDB tables to MyISAM tables for archiving purposes. In these backups, a lot of write-requests happen, however there is almost no read from these archive tables. Would these tables also benefit from using InnoDB or is this just a waste of space and RAM?

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• MySQL & tmpfs : performance

  - by Serty Oan

  I was wondering if, and how much, using tmpfs could improve MySQL performance and how it should be done ? My guess would be to do mount -t tmpfs -o size=256M /path/to/mysql/data/DatabaseName, and to use the database normally but maybe I'm wrong (I'm using MyISAM tables only). Will a hourly rsync between the tmpfs /path/to/mysql/data/DatabaseName and /path/to/mysql/data/DatabaseName_backup penalize performances ? If so, how should I make the backup of the tmpfs database ? So, is it a good way to do things, is there a better way or am I losing my time ?

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